Addressing High Nursing Turnover: Analysis of Theoretical Concepts and Case Study by Josuhe Neri

“…Secondly, medical institution is described (shortage of medical staff leads to a decrease in patient satisfaction, loss of care quality, increased waiting time for services, review of safety and patient care protocols, reduction in the number of patients who can receive medical care or consultation, which causes a decrease in hospital revenue, hinders organisational growth, raises the cost of additional recruitment, leads to medical errors that turn into lawsuits in future, etc.). …”
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Study of causes for neck contraction of gas injection-production well in salt cavern gas storage and its preventive and remedial measures by Zhaoheng ZHOU, Yuxing LI, Min LIN, Hongshuai GUO, Jianfu WANG

“…They experienced a remarkable volume reduction of 66% and 72%, respectively, compared to the testing results in 2013. …”
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The Influence of Running Technique Modifications on Vertical Tibial Load Estimates: A Combined Experimental and Machine Learning Approach in the Context of Medial Tibial Stress Syn... by Taylor Miners, Jeremy Witchalls, Jaquelin A. Bousie, Ceridwen R. Radcliffe, Phillip Newman

“…Machine-learning models predicted all four vGRF metrics with mean average errors of 9.5%, 10%, 10.9%, and 3.4%, respectively. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Compared with the original model using traditional parameter upscaling methods, the advancing framework significantly reduced simulation errors by 35 %–85 %. Moreover, it well reproduced the multi-variable synergies and tradeoffs observed in China's rice fields and identified an additional 18 % areas feasible for irrigation optimization, along with an additional 11 % and 14 % reduction potentials of water use and methane emissions, without compromising production. …”
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Predictive Energy Management Strategy for Heavy-Duty Series Hybrid Electric Vehicles Based on Drive Power Prediction by Yuan Cao, Changshui Liang, Shi Cheng, Xinxian Yin, Daxin Chen, Zhixi Liu, Chaoyang Sun, Tao Chen

“…Within the prediction timeframe, different rolling calculation energy distribution methods utilizing equivalent factors are employed to achieve optimal energy consumption reduction. Road experiment data demonstrate that identification errors for various vehicle weights remain below 3%. …”
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Research on Spatial Localization Method of Magnetic Nanoparticle Samples Based on Second Harmonic Waves by Zheyan Wang, Ping Huang, Fuyin Zheng, Hongli Yu, Yue Li, Zhichuan Qiu, Lingke Gai, Zhiyao Liu, Shi Bai

“…The experimental results validated the method’s high accuracy, with axial detection distance and concentration reduction errors of only 4.8% and 4.1%, respectively. …”
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An integrated deep convolutional neural networks framework for the automatic segmentation and grading of glioma tumors using multimodal MRI scans by Otung John Peter Odong, Mohammed Abo-Zahhad, Moataz Abdelwahab

“…The segmentation network utilizes the encoder for feature extraction and dimensionality reduction, while the decoder reconstructs the output to the original input size. …”
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2024 Polish recommendations for the management of familial hypercholesterolemia in children and adolescents by Małgorzata Myśliwiec, Marta Bandura, Anna Wołoszyn-Durkiewicz, Matylda Hennig, Mieczysław Walczak, Jarosław Peregut-Pogorzelski, Jolanta Sykut-Cegielska, Maria Miszczak-Knecht, Krzysztof Chlebus, Bartosz Wasąg, Agnieszka Zmysłowska, Maciej Banach

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Can artificial intelligence and contrast-enhanced mammography be of value in the assessment and characterization of breast lesions? by Lamiaa Mohamed Bassam Hashem, Heba Monir Azzam, Ghadeer Saad Abd El-Shakour El-Gamal, MennatAllah Mohamed Hanafy

“…Radiologists, under heavy and prolonged workloads, are more prone to errors and to reduce such mistakes, and computer-aided diagnosis (CAD) has been introduced. …”
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Breast Tumor Detection and Diagnosis Using an Improved Faster R-CNN in DCE-MRI by Haitian Gui, Han Jiao, Li Li, Xinhua Jiang, Tao Su, Zhiyong Pang

“…We achieved superior performance in mAP, sensitivity, and false positive rate ((0.752, 0.950, 0.133) vs. (0.711, 0.950, 0.200) vs. (0.718, 0.880, 0.120) vs. (0.658, 0.680, 405)), which represents a 38.5% reduction in false positives compared to manual detection. …”
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Self‐Supervised Pre‐Training and Few‐Shot Finetuning for Gas‐Bearing Prediction by Long Han, Xinming Wu, Renjie Chen, Yunhua Shi, Zhanxuan Hu, Huijing Fang

“…Abstract Natural gas remains the only fossil energy with sustained production growth amid global carbon reduction efforts, with seismic methods crucial for its exploration and development. …”
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MATHEMATICAL SIMULATION OF TECHNOLOGICAL EQUIPMENT FOR PROCESSING OF OPTICAL PARTS by I. P. Filonov, A. S. Kozeruk, Y. L. Malpica, M. I. Filonova, V. O. Kuznechik, R. O. Dias Gonsalez

“…While using the given machine-tool for machining process an operating force is directed along normal to the working surface and due to this there is a possibility to accelerate a shape-formation process of optical parts that leads to reduction of local errors on their executive surfaces. …”
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A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…Additionally, the DR-PIFO offers a significant reduction in the relative flow completion time (FCT) errors, exhibiting a minimum of 30% less error compared to the previously proposed models when implementing various scheduling policies with workloads collected from data centers. …”
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Enhancing adolescent health: the role of strength and endurance school-based HIIT interventions in physical fitness and cognitive development by José Antonio Pérez-Ramírez, Maria Paula Santos, Maria Paula Santos, Jorge Mota, Jorge Mota, Francisco Tomás González-Fernández, Emilio Villa-González

“…Cognitive outcomes assessed via the D2 attention test revealed notable enhancements in concentration, a reduction in errors, and improved processing speed in the EG relative to the CG (p > 0.05).DiscussionFuture studies should explore the long-term impacts of HIIT on cognitive growth and academic achievement, as well as determine the ideal duration and frequency of sessions to optimize benefits in various educational contexts. …”
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Multi-decadal spatiotemporal dynamics of alpine plant functional types (PFTs) inferred from Landsat-derived fractional cover across the Yarlung Zangbo river basin, China by Qichi Yang, Lihui Wang, Xiaoqi Li, Xue Yan, Jinliang Huang, Yun Du, Feng Ling

“…Climate-induced shifts in the composition and structure of alpine vegetation cover, both expansion and reduction, are altering alpine ecosystem functions. …”
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Modeling residential property prices in emerging climate-responsive urban markets: a hybrid modeling framework for Baidoa City-Somalia by Mohamed Ibrahim Nor, Shuaib Nour Hussein

“…Compared to the baseline linear hedonic regression model, the ANN achieved approximately a 20% reduction in mean squared error (MSE), with performance improvements validated through 5-fold cross-validation and supported by 95% confidence intervals. …”
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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

“…This difficulty persists even among experienced radiologists, leading to potential errors and delays in diagnosis (Pang et al., 2021). …”
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investigation and technical-economic study of reducing the depth of sewer network in the east of Ahvaz by Hadis Khosravi, HAMID mahmoodi abed, mihammad mahdi rooyvaran

“…The main lines in the east of Ahvaz city were designed with slopes of 1/2d, 1/3d, and less than 1/3d using trial and error with SewerCAD software. . The reduction of operational costs, it leads to a reduction in the cost of pumping station equipment and station operation costs and a reduction in the cost of line repairs and maintenance. …”
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Assessing effective mask use by the public in two countries: an observational study by Peter C Austin, Bory Kea, Bin Chen, Arshia P Javidan, Huong Nguyen, Alex Chang, Allen Li, Clare L Atzema, Ivona Mostarac, Dana Button, Lauren Wintraub, Raumil V Patel, Daniel Dongjoo Lee, Nathaniel P Latham, Eric A Latham, Patrick C M Brown, Rita D Somogyi, Sara Buerk, Tristen Zimmerman, Trevor Funari, Cameron Colbert

“…Subjects aged 81+ years (vs 31–65 years) and those on public transit and at the airport (vs stores) had higher odds of mask errors. Mask-wearers had a large reduction in adjusted mean number of breaches (rate ratio (RR) 0.19; 95% CI 0.17 to 0.20). …”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…Additionally, the root mean square error (RMSE) decreased from 0.531 to 0.426, suggesting a reduction of 19.8%. …”
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